TAILIEUCHUNG - Báo cáo khoa học: "Combining Functionality and Object Orientedness for Natural Language Processing"

This paper proposes a method for organizing linguistic knowledge in both systematic and flexible fashion. We introduce a purely applicative language (PAL) as an intermediate representation and an object-oriented computation mechanism for its interpretation. PAL enables the establishment of a principled and well-constrained method of interaction among lexicon-oriented linguistic modules. The object-oriented computation mechanism provides a flexible means of abstracting modules and sharing common knowledge. . | Combining Functionality and Object-Orientedness for Natural Language Processing Toyoaki Nishida1 and Shuji Doshita Department of Information Science Kyoto University Sakyo-ku Kyoto 606 JAPAN Abstract This paper proposes a method for organizing linguistic knowledge in both systematic and flexible fashion. We introduce a purely applicative language PAL as an intermediate representation and an object-oriented computation mechanism for its interpretation. PAL enables the establishment of a principled and well-constrained method of interaction among lexicon-oriented linguistic modules. The object-oriented computation mechanism provides a flexible means of abstracting modules and sharing common knowledge. 1. Introduction The goal of this paper is to elaborate a domain-independent way of organizing linguistic knowledge as a step forwards a cognitive processor consisting of two components a linguistic component and a memory component. In this paper we assume the existence of the latter component meeting the requirements described in Schank 82 . Thus the memory component attempts to understand the input in terms of its empirical knowledge predict what happens next and reorganize its knowledge based on new observations. Additionally we assume that the memory component can judge whether a given observation is plausible or not by consulting its empirical knowledge. The role of the linguistic component on the other hand is to supply stimulus to the memory component. More specifically the linguistic component attempts to determine the propositional content to supply missing constituents for elliptical expressions to resolve references to identify the focus to infer the intention of the speaker etc. In short the role of the liguistic component is to translate the input into an internal representation. For example the output of the linguistic component for an input When did you go to New York is something like the following2 There is an event e specified by a set of predicates isa

• Báo cáo khoa học
• Combining Functionality
• Object Orientedness
• Natural Language Processing
• scientific reports
• model language
• process natural language
• BMC Musculoskeletal Disorders
• Forward head posture
• Neck pain
• Instrument assisted soft tissue mobilization
• Cervical vertebral angle
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Mark H
• Bursteln